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Researchers Use Machine Learning to Characterize the Microstructure of Metallic Nuclear Fuel

Developing the nuclear power systems of the future requires innovative thinking and new approaches to solving complex challenges. For the first time, a team of Idaho National Laboratory (INL) and University of Idaho researchers has successfully applied machine learning to characterizing the microstructure of metallic nuclear fuel, the fine details only visible under powerful magnification. ....

University Of Idaho , United States , Fei Xu , Tiankai Yao , Laura Thomsonmay , Luca Capriotti , Data Analytics Lab , Materials Characterization Laboratory , University Of Idaho Machine Intelligence , Idaho National Laboratory , Department Of Energy Office Nuclear , Min Xian , Machine Intelligence , Data Analytics , Nuclear Energy ,

Idaho researchers take a close look at uranium to unravel its mysteries

As materials heat up and cool down, atoms and molecules can rearrange in strange and interesting ways. Water is one example. While most materials get denser when they freeze, water forms a crystalline structure as a solid that is less dense than its liquid form. That’s why ice cubes float. And these changes aren’t limited […] ....

United States , Andrea Jokisaari , Xiang Liu , Tiankai Yao , Luca Capriotti , Materials Characterization Laboratory , Idaho National Laboratory , Fidelma Di Lemma , Reactor Test Facility ,